Triple
T19629682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gus-Khrustalny |
E471232
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Gus River |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Gus River | Statement: [Gus-Khrustalny, locatedOn, Gus River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gus River Context triple: [Gus-Khrustalny, locatedOn, Gus River]
-
A.
Gus River
chosen
The Gus River is a waterway in Vladimir Oblast, Russia, that lends its name to the town of Gus-Khrustalny and is part of the region’s historical glassmaking area.
-
B.
Lez River
The Lez River is a short coastal river in southern France that flows through the city of Montpellier before emptying into the Mediterranean Sea.
-
C.
Ager River
The Ager River is a watercourse in Upper Austria that flows through the Salzkammergut region and ultimately joins the Traun River.
-
D.
Gavaraget River
The Gavaraget River is a watercourse in Armenia that serves as one of the tributaries feeding into Lake Sevan.
-
E.
Vyg River
The Vyg River is a watercourse in northwestern Russia that flows through Karelia before emptying into the White Sea.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64101a0448190ba19f8917ae85dd6 |
completed | April 20, 2026, 3:06 p.m. |
Created at: April 10, 2026, 1:44 p.m.